Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : June 28, 2023 - July 01, 2023
Japan is currently facing a super-aging society，and the need for preventive healthcare is increasing. However, there is a shortage of caregivers who can provide appropriate advice to elderly persons during exercise. So，there has been researches on a health promotion support system that can assess the suitability exercise movements and provide improvement advice. However，conventional studies mostly use joint angles as indicators to evaluate exercise movements，and there are few studies that evaluate the rhythm of exercise movements. Rhythm can be an indicator of declining physical function in the elderly and can also provide users of the system with the enjoyment of moving their bodies. In this paper，we propose a method for evaluating the rhythm of exercise movements using a smart device. In this system，a recurrent neural network is used for posture recognition，and the obtained output waveform is evaluated for rhythm by applying autocorrelation function.
